API Reference

Embeddings

Generate vector embeddings for text using OpenAI embedding models via the Plurence gateway.

Endpoint

POST https://gateway.plurence.com/v1/embeddings

Request body

Field	Type	Description
model	string	Required. e.g. text-embedding-3-small, text-embedding-3-large.
input	string \| array	Required. Text or list of texts to embed.
encoding_format	string	float (default) or base64.
dimensions	integer	Reduce output dimensions. Model-dependent.

Example

python

from openai import OpenAI

client = OpenAI(
    api_key="plr_live_...",
    base_url="https://gateway.plurence.com/v1",
)

result = client.embeddings.create(
    model="text-embedding-3-small",
    input="The quick brown fox jumps over the lazy dog",
)

vector = result.data[0].embedding
print(f"Dimensions: {len(vector)}")  # 1536

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